Sciweavers

5463 search results - page 289 / 1093
» Evaluating algorithms that learn from data streams
Sort
View
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
16 years 4 days ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Elio Lozano, Edgar Acuña
NIPS
2000
15 years 7 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio
TKDE
2008
148views more  TKDE 2008»
15 years 6 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru
CN
1999
81views more  CN 1999»
15 years 6 months ago
Scheduling and admission control for integrated-services networks: the Priority Token Bank
This paper proposes a new mechanism called the Priority Token Bank for admission control, scheduling, and policing in integrated-services networks. In such networks, both arrival ...
Jon M. Peha
SIGCOMM
2004
ACM
15 years 12 months ago
The feasibility of supporting large-scale live streaming applications with dynamic application end-points
While application end-point architectures have proven to be viable solutions for large-scale distributed applications such as distributed computing and file-sharing, there is lit...
Kunwadee Sripanidkulchai, Aditya Ganjam, Bruce M. ...